bio-clinical-databases-variant-prioritization
Filter and prioritize variants by pathogenicity, population frequency, and clinical evidence for rare disease analysis. Use when identifying candidate disease-causing variants from exome or genome sequencing.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-clinical-databases-variant-prioritization --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: pandas 2.2+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Variant Prioritization **"Prioritize candidate disease variants from my exome data"** → Filter and rank variants by pathogenicity scores, population frequency, inheritance pattern, and clinical evidence to identify candidate disease-causing mutations. - Python: `pandas` for multi-criteria filtering with ACMG/AMP classification logic ## Basic Filtering Pipeline **Goal:** Filter variants to retain rare, potentially pathogenic candidates for rare disease analysis. **Approach:** Apply gnomAD population frequency and ClinVar significance filters, retaining pathogenic, VUS, and unannotated variants. ```python import pandas as pd def prioritize_variants(df, gnomad_af_col='gnomad_af', clinvar_col='clinvar_sig'): '''Basic variant prioritization pipeline Filters: 1. Rare in population (gnomAD AF < 0.01) 2. P
- Version Compatibility
- Basic Filtering Pipeline
- ACMG-Style Filtering
- Multi-Database Prioritization
- Inheritance-Based Filtering
- Output Priority Tiers
- Related Skills
What does the bio-clinical-databases-variant-prioritization skill do?
Filter and prioritize variants by pathogenicity, population frequency, and clinical evidence for rare disease analysis. Use when identifying candidate disease-causing variants from exome or genome sequencing.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-clinical-databases-variant-prioritization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.